Title :
Parameter estimation: the ambiguity problem
Author :
Lefkaditis, V. ; Manikas, A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
Abstract :
In a statistical signal processing parameter estimation problem, ambiguities are generated when there is not a one to one mapping between the object space and the measurement space. The ambiguity problem is investigated using differential geometry concepts and a theoretical framework is proposed for the classification, identification and calculation of ambiguities, associated with two application areas, that is in array processing and in the harmonic retrieval problem
Keywords :
array signal processing; differential geometry; harmonic analysis; parameter estimation; signal classification; statistical analysis; ambiguity calculation; ambiguity classification; ambiguity identification; array processing; differential geometry; harmonic retrieval problem; parameter estimation; statistical signal processing; Array signal processing; Biomedical signal processing; Educational institutions; Equations; Geometry; Parameter estimation; Sensor arrays; Shape; Signal generators; Space technology;
Conference_Titel :
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-5988-7
DOI :
10.1109/SSAP.2000.870151
